Abstract #2503
Automated and Subject-Specific Coil Selection for Respiratory Self-Navigation in Coronary MRA
Davide Piccini 1,2 , Bndicte Marchal 1,3 , Simone Coppo 2 , Jrme Chaptinel 2 , Gabriele Bonanno 2 , Gunnar Krueger 1,3 , Juerg Schwitter 4 , and Matthias Stuber 2
1
Advanced Clinical Imaging Technology,
Siemens Healthcare IM BM PI, Lausanne, Switzerland,
2
Department
of Radiology, University Hospital (CHUV) and University
of Lausanne (UNIL) / Center for Biomedical Imaging (CIBM),
Lausanne, Switzerland,
3
CIBM-AIT,
cole Polytechnique Fdrale de Lausanne, Lausanne,
Switzerland,
4
Division
of Cardiology and Cardiac MR Center, University Hospital
of Lausanne (CHUV), Lausanne, Switzerland
In the field of self-navigated (SN) coronary MRA,
several approaches have been proposed for the extraction
of clean respiratory signals. The coils used for SN are
usually either manually selected or fixed and dependent
on the hardware of the scanner. In this work, a method
for automated subject-specific coil selection for SN,
which uses atlas-based image segmentation techniques, is
described and compared to manual selection performed by
expert reviewers and fixed coil selection. While the
automated coil selection performs equally well as the
manual selection, a significant improvement in image
quality is obtained in comparison to a fixed coil
selection.
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